July 17th, 2024

Evolving Languages Faster with Type Tailoring

Programming languages face limitations in understanding domain-specific aspects like regular expressions, causing errors. "Type Tailoring" proposes teaching type systems new tricks through metaprogramming tools for improved code efficiency and correctness.

Read original articleLink Icon
Evolving Languages Faster with Type Tailoring

Programming languages are evolving slowly due to the limitations of their type systems in understanding domain-specific aspects like regular expressions. This leads to errors and inefficiencies when working with specialized code. One proposed solution is "Type Tailoring," a method to teach the type system new tricks using metaprogramming tools without requiring changes to the language's core. By tailoring types to specific tasks, programmers can improve code efficiency and correctness. The process involves programming the elaboration step after macroexpansion, leveraging procedural macros, and working with AST datatypes. Essential features for successful type tailoring include type checking after elaboration, elaboration-time computation, and an AST datatype. Additional features like hygienic macros, metadata handling, and controlling expansion order enhance the tailoring process. While no language currently supports all these features, the concept of type tailoring opens up possibilities for improving language flexibility and efficiency without extensive changes to the core language design.

Related

Deriving Dependently-Typed OOP from First Principles

Deriving Dependently-Typed OOP from First Principles

The paper delves into the expression problem in programming, comparing extensibility in functional and object-oriented paradigms. It introduces dependently-typed object-oriented programming, emphasizing duality and showcasing transformations. Additional appendices are included for OOPSLA 2024.

A reckless introduction to Hindley-Milner type inference (2019)

A reckless introduction to Hindley-Milner type inference (2019)

Hindley-Milner type inference balances expressiveness and legibility in programming languages like Elm and Haskell. It enhances correctness by enforcing strict type checking, limiting coding practices for improved type safety.

A Type for Overload Set

A Type for Overload Set

The article explores C++ overload set challenges, discussing issues with standard functions encountering problems due to overloading. It introduces proposal P3312 for a unique type to address these limitations, emphasizing the need for a more efficient solution.

Introduction to Program Synthesis

Introduction to Program Synthesis

Program synthesis automates software creation by generating programs from requirements. It leverages Large Language Models (LLMs) like co-pilot and AlphaCode, alongside search-based techniques, for tasks like data manipulation and legacy application modernization.

Some Tricks from the Scrapscript Compiler

Some Tricks from the Scrapscript Compiler

The Scrapscript compiler implements optimization tricks like immediate objects, small strings, and variants for better performance. It introduces immediate variants and const heap to enhance efficiency without complexity, seeking suggestions for future improvements.

Link Icon 0 comments